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    • Data Manipulation

    Data Manipulation Courses Online

    Master data manipulation techniques for transforming data. Learn to clean, merge, and reshape datasets using tools like SQL and Python.

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    Explore the Data Manipulation Course Catalog

    • Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Probability & Statistics, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Spreadsheet Software, Stakeholder Communications, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Quantitative Research, Systems Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Statistical Visualization, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Data Storage Technologies, Programming Principles, Epidemiology, Computer Programming, C++ (Programming Language), Infectious Diseases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, MySQL, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, Statistical Hypothesis Testing, Extract, Transform, Load, IBM DB2, Excel Formulas

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Macquarie University

      Excel Skills for Data Analytics and Visualization

      Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Data Presentation, Power BI, Excel Formulas, Data Analysis Expressions (DAX), Data Visualization Software, Data Visualization, Interactive Data Visualization, Microsoft Excel, Spreadsheet Software, Dashboard, Data Modeling, Data Cleansing, Data Manipulation, Excel Macros, Infographics, Data Transformation, Data Validation, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Geometry, Machine Learning Methods, Artificial Neural Networks, Algorithms, Data Manipulation, Mathematical Modeling, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • IBM

      What is Data Science?

      Skills you'll gain: Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      75K reviews

      Beginner · Course · 1 - 4 Weeks

    • Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Security, Google Sheets, Data Cleansing, Databases, Data Access, Data Storage, Data Quality, Data Integrity, Data Management, Data Collection, Data Manipulation, Relational Databases, SQL, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      22K reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Statistical Programming, Ggplot2, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Analysis, Data Import/Export, General Science and Research, Data Sharing, Statistical Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, R Programming, Recruitment, Data-Driven Decision-Making, Presentations, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 4 Weeks

    Data Manipulation learners also search

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    Data Science
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    1234…588

    In summary, here are 10 of our most popular data manipulation courses

    • Data Science: Johns Hopkins University
    • Ask Questions to Make Data-Driven Decisions: Google
    • IBM Data Analytics with Excel and R: IBM
    • Data Structures and Algorithms: University of California San Diego
    • IBM Data Management: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Excel Skills for Data Analytics and Visualization: Macquarie University
    • Mathematics for Machine Learning: Imperial College London
    • What is Data Science? : IBM
    • Prepare Data for Exploration: Google

    Frequently Asked Questions about Data Manipulation

    Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

    If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

    Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

    You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

    Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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